imperial research grant
how to apply:
for more than a decade, this program has provided funding for research projects carried out by faculty members and their 世界杯2022赛程表淘汰赛 .
areas of interest
environment
- remediation of soil impacted by recalcitrant petroleum hydrocarbons, salts (mostly nacl) or both, to as close to pristine conditions as possible
- improved delineation of soil impacted by petroleum hydrocarbons, salts or both
- boreal forest wetland reclamation
- novel environmental monitoring technologies (e.g., remote sensing, edna)
- fundamental understanding of the interactions of minerals and residual hydrocarbon in the aqueous phase and what causes enhanced separation (e.g., use of additives such as polymers)
- enhancements in sox, nox reduction technologies
in-situ bitumen recovery
- bitumen-hydrocarbon-steam phase behaviors (vlle) with temperature and pressure variation (up to > 200°c)
- dispersion and diffusion in porous media of methane in bitumen
- formation of hydrates upon depressurization of c2-c3-c1-bitumen-hc mixtures
- miscible and partially miscible finger modeling (using macroscopic parameters)
- mass transfer in solvent finger/bitumen matrix networks (diffusion and dispersion)
- modeling of heat and mass transfer boundary layers in steam-thermal-solvent processes
- modeling of asphaltene or asphaltene-rich heavy phase transport in heavy oil recovery process
in-situ facilities
- improvements in multiphase pumps, novel water softening, water hardness analyzers, waste heat utilization, external heat source engines, abrasion resistant materials
- improved methods to detect, remove or prevent scaling and fouling on piping and vessels while minimizing downtime
- improved methods of produced fluid measurement - quantification of multiphase produced fluid streams in presence of high temperature, vapour, solvents and viscous bitumen
- improved methods to differentiate between native bitumen and reproduced injected solvent which have overlapping hydrocarbon components
- economic optimization of in-situ solvent recovery processes and facilities under global constraints
analytical techniques for petroleum products
- in-use online analysis of petroleum products
- failure modes of in-service petroleum products
- failure modes of industrial components that are lubricated with petroleum products
- forensic analysis of lubricants and related industrial equipment
- analytical techniques for new and used lubricants
- oxygenate and speciation measurement in hydrocarbons
- bio-content determination in petroleum hydrocarbons
- metal measurement in process waters including sour water
refinery products, processes and facilities
- novel approaches for the removal of sulphur, phosphorous and nitrogen from hydrocarbon streams
- improved understanding of fouling and corrosion of process equipment both hydrocarbon and inorganic, and means to mitigate same
- novel approaches for quality enhancements for fuel products, oxygenate containing fuel products, and asphalts
- improvements in yields, run lengths, and molecular composition of product streams in refinery processing equipment
- improved production of basestocks from crudes
- breakthrough technology for energy efficiency improvement in refinery processing equipment, namely fired heaters and heat exchanger
- enhanced process control system - modeling of refinery systems (improved molecular characterization, reaction kinetics, hydrodynamic modeling)
- novel techniques for water conservation within a modern refinery
- novel techniques to predict cold flow properties of fuels from feed qualities and operating conditions in fixed bed reactors
- novel quench system designs for fixed bed reactors providing uniform fluid flow and quick installation and inspection
machine learning applied to simulation of chemical processes
- predictive analytics: equipment failure prediction, such as compressors, pumps, etc.
- hybrid modeling of chemical processes: combining first principle models with data driven models for a more comprehensive simulation
- use of machine learning algorithms for root cause analyses purposes.
- machine learning research in petroleum processes
- tower flooding predictions with data driven algorithms
- artificial neural network modeling and optimization of chemical processes, including fcc, hydrotreating, reforming, distillation, etc.
- data anomalies and deviation detection with machine learning for monitoring purposes
chemicals
- improvements related to polyethylene manufacturing
- improvements related to polyethylene products particularly polyethylene for injection and rotational molding applications
- improvements related to ethane/propane gas cracking to produce ethylene
- improvements related to manufacturing of vinyl intermediates, aromatics and naphtha based solvents
- improvements related to plastics recycling – technology improvements to enable improved flexible plastic packaging recycle chains
- improvements related to advanced recycling technologies
- investigate the effect of different bio sources in biofuels (gas and diesel) on polyethylene physical properties
- investigate and improve the organoleptic properties of polyethylene
- investigate methods to improve the barrier properties of rotational and injection molded parts
- investigate methods to improve the paintability of rotational and injection molded parts
- explore applications of polyethylene combined with bio-based materials
- investigate methods to evaluate and improve the environmental stress crack resistance performance of polyethylene
- safe transfer of synthetic polymer particles and dust properties
- investigation into and new methods to characterize the long term performance of polyethylene
geoscience
- diagenetic history, cementation, clay formation, burial history and petrographic studies of the mcmurray fm to determine the variation in ore quality
- emplacement variability and degradation of northern alberta bitumen using novel approaches
- resolve the stratigraphy and sedimentology of post cretaceous sediments in the athabasca region
- applications of remote sensing to mine development
- investigation of mud sedimentation in shallow water clastic depositional environments
- modeling of oil migration pathways through the palaeozoic sediments of the athabasca basin
- application of geophysical methods in predicting oil sands reservoir properties
- application of geophysical methods, other than seismic, to characterize the caprock formation in oil sands thermal projects
- hybrid modelling of reservoir processes
- optimization of reservoir operation
external deadline:
tuesday, december 31, 2024
agency:
funding source:
external
funding level:
research